> Markdown version of [/jobs/ext/144693-software-engineer-cuda-q](https://www.wearedevelopers.com/jobs/ext/144693-software-engineer-cuda-q). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, CUDA-Q

- **Company:** NVIDIA Ltd.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $287,500.0
- **Contract:** Permanent contract
- **Skills:** Code Generation, Profiling, Nvidia CUDA, Field-Programmable Gate Array (FPGA), Hardware Description Language, Quantum Computing, Software Engineering, Distributed Programming, Information Technology
- **Published:** May 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f79b3f398504074d

## About the Role

Do you have experience in System design?, Do you have a Master's degree?, NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. Join us in developing the CUDA-Q platform for programming powerful hybrid quantum-classical multi-processor systems. We are looking for a dedicated engineer with expertise in GPU-programming and compilers that is proficient in parallel and distributed programming. Are you creative, always looking to come up with innovative solutions, and eager to apply your skills to advance a novel field of computing? If you love the craft of software engineering, and relish the chance to impact the future of the industry, this role may be perfect for you., * Bachelors Degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred), or equivalent experience

 * 5+ years of experience
 * Ability working on large-scale software projects, and a proven track record of building performant and robust production software
 * Proficiency in GPU-programming and a solid understanding of performance profiling, multi-processor systems, and compiler fundamentals
 * Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges
 * Strong communication and collaboration skills

Ways To Stand Out From The Crowd:

 * Extensive knowledge about quantum computing hardware and control systems and/or prior experience implementing optimization and code generation components for various quantum computing architectures
 * A passion for system designing and a focus on improving extensibility
 * Familiarity with FPGA programming and HDLs
 * Deep understanding of compiler toolchains, specifically LLVM/MLIR

## Description

* Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors
 * Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components
 * Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology
 * Discussing and refining software designs and implementation strategies with peers
 * Improving processes and infrastructure to accelerate our development


## Related Videos

- [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia)
- [Leapter: The Reinvention of Software Development? A Future Built On AI Generated Code.](https://www.wearedevelopers.com/videos/1663-leapter-the-reinvention-of-software-development-a-future-built-on-ai-generated-code)
- [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire)
- [The weekly developer show: Boosting Python with CUDA, CSS Updates & Navigating New Tech Stacks](https://www.wearedevelopers.com/videos/1293-the-weekly-developer-show-boosting-python-with-cuda-css-updates-navigating-new-tech-stacks)
- [A Deep Dive on How To Leverage the NVIDIA GB200 for Ultra-Fast Training and Inference on Kubernetes](https://www.wearedevelopers.com/videos/1625-a-deep-dive-on-how-to-leverage-the-nvidia-gb200-for-ultra-fast-training-and-inference-on-kubernetes)
- [Building a Friendly Kotlin SDK to Connect to JetBrains Space](https://www.wearedevelopers.com/videos/128-building-a-friendly-kotlin-sdk-to-connect-to-jetbrains-space)

## Related Articles

- [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)
- [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)
- [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python)
- [What is a Hackathon? The Hackathon Guide](https://www.wearedevelopers.com/magazine/349-what-is-a-hackathon-the-hackathon-guide)
- [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023)
- [How to Write a CV and Interview if You Don't Fully Qualify For The Job](https://www.wearedevelopers.com/magazine/183-how-to-write-a-cv-and-interview-if-you-don-t-fully-qualify-for-the-job)